Computational Neuroengineering · Mechanobiology · Bioprinting

Engineering living neural systems for embodied AI & biocomputers

I'm a PhD researcher at the University of Essex (CSEE) studying how substrate mechanics, adhesion, and plasticity shape neuronal dynamics — in simulation and in vitro. I build stiffness‑aware Izhikevich network models, MEA analysis pipelines, and biofabrication workflows to accelerate neurally‑grounded computing.

100k+
Lines of simulation code
100k
Neurons simulated (target scale)
5–100 kPa
Stiffness range studied

At a glance

Current focus areas:

Mechanosensitive currents (Imech) Adhesion‑modulated gain STDP & homeostatic plasticity MEA‑style analytics Bioink stiffness decay

Research

Stiffness‑aware Izhikevich networks

Unified simulator combining Imech, adhesion, and multiple plasticity rules. Exports rasters, v‑traces, burst metrics, entropy, and GraphML connectivity for analysis.

Bioink stiffness & neuronal function

Predictive models of Young’s modulus vs. time (alginate/GelMA/PEGDA), integrated with simulated networks to study dynamic mechanical environments.

MEA pipeline & validation

MEA‑style electrode mapping, burst detection, and side‑by‑side comparison with in vitro recordings to close the loop between models and experiments.

Selected Projects

Edit the projects[] array in the source to update this list.

Publications & Preprints

Teaching & Outreach

Coding Club — Session & Project Lead

Design and deliver programming sessions for Year 5 pupils; lead volunteers; build inclusive digital‑literacy materials. Planning expansion to adult and refugee‑focused provision.

University teaching support

Graduate Lab Assistant (CSEE): support lab instruction, develop materials, and mentor students in Python/C++, ML, and scientific computing.

News

Contact

Email: <you>[email protected] · GitHub: @